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1. Develop, deploy, and optimize fraud detection strategies for various products such as credit card, debit card or any form of digital payments in Retail banking (e.g., PayMe).
2. Support the fraud management strategy to protect the business against financial loss and improve customer experience.
3. Ensure that fraud analytics solutions operate at optimum effectiveness.
4. Support the development of management information (MI) to provide insights for fraud risk controls.
5. Provide subject matter expertise in the design, development, and maintenance of fraud risk controls to address business and local regulatory requirements.
6. Collaborate with cross-functional teams to create, improve, and align analytics best practices and strategies, creating a united front against fraud.
7. Conduct proactive fraud risk assessments and ad hoc analyses to respond to and mitigate fraud incidents.
1. Bachelor’s degree, or equivalent, in Business Management, Quantitative Analysis, Data Science, Computer Science or a related field.
2. Strong analytical skills and experience in SAS programming, SQL, and Python.
3. Experience in strategy development in any fraud detection platform using in financial industry (e.g., SAS EFM, ARIC, Feedzai). Knowledge of GCP usage is a plus.
4. Experience in delivering management information (MI) projects with different stakeholders, and familiarity with visualization tools such as Qliksense and Tableau is an added advantage.
5. Knowledge of retail banking products, digital payment channels (e.g., PayMe), fraud management processes, and controls is preferred.
6. Experience in business or risk analytics and risk management is desirable.
7. A good understanding of change management, project management, and agile methodologies and techniques is preferred.
8. Proven ability to work across markets with multiple teams in an ever-changing environment.
9. Strong communication, interpersonal, influence, and negotiating skills.

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